Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow

Pengcheng Yin
Pengcheng Yin
Edgar Chen
Edgar Chen

MSR, pp. 476-486, 2018.

Cited by: 35|Bibtex|Views7|Links
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Abstract:

For tasks like code synthesis from natural language, code retrieval, and code summarization, data-driven models have shown great promise. However, creating these models require parallel data between natural language (NL) and code with fine-grained alignments. S tack O verflow (SO) is a promising source to create such a data set: the que...More

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